Kibana Data and Ops Analyst - Virtual
Instructor-led Virtual Training
|Location||Dec 2019||Jan 2020||Feb 2020||Mar 2020||Apr 2020||May 2020||Jun 2020||Jul 2020||Aug 2020||Sep 2020||Oct 2020|
|US CENTRAL TIMEZONE||
Jan 27 – Jan 30|
|US PACIFIC TIMEZONE||
Jan 13 – Jan 16||
Feb 18 – Feb 21||
Mar 9 – Mar 12|
Mar 23 – Mar 26
|CENTRAL EUROPEAN TIMEZONE||
Jan 20 – Jan 23||
Feb 17 – Feb 20||
Mar 16 – Mar 19|
|APJ AUSTRALIAN TIME||
Mar 2 – Mar 5|
|APJ SINGAPORE TIMEZONE||
Mar 2 – Mar 5|
Classes in bold are guaranteed to run!
This course focuses on using Kibana to analyze data and operational metrics in Elasticsearch. You will learn how to create visualizations and dashboards across a variety of data sets, including logging, metrics and uptime data.
Starting with the fundamentals, you will learn the core concepts of data and operational analysis using Kibana — from aggregation-based charts, to complex time series visualizations, to building complex dashboards from multiple data sources. You will also learn how to use the Elastic Logs and Infrastructure apps. Through lectures, labs, and Q&A sessions, after this course you will be able to easily find answers and anomalies in your data sets. You will also be well prepared for our new Elastic Certified Ops Analyst certification (more info coming soon).
Note: This course is also available in a classroom environment.Topics Covered
- Kibana fundamentals
- Kibana search
- Kibana visualizations
- Kibana dashboards
- Kibana visual builder
- Kibana management
- Observability apps
- Analyzing infrastructure data
- Machine learning and alerting
Any technical or non-technical users, including Data Analysts, Security Analysts, Operations Analysts, DevOps, as well as Monitoring and Observability teams
- Laptop with Wi-Fi connectivity
- Mac, Linux, or Windows
- Latest version of Chrome or Firefox (other browsers not supported)
- Disable any ad blockers and restart your browser before class
Virtual Classroom Information
This virtual training is taught over 4 consecutive days for 5 hours per day. Classes are offered in the morning and afternoon across different time zones. Open a specific offering (listed at the top of the page) to see the hours in which it will be held.
We encourage participants to set up their systems prior to logging into the training environment the first day of the class. We also encourage being logged in 15 minutes prior to the start of class each day.